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Social jetlag in a longitudinal Chinese wearable cohort: weekly variation, solar-time mismatch, and sleep-activity associations.

TL;DR

In 63,752 Chinese adults, high social jetlag was more common at the week level than at the person level, and adverse associations with sleep and physical activity were driven mainly by between-person differences rather than within-person week-to-week changes.

Key Findings

Median sleep-corrected social jetlag (SJLsc) was 0.70 hours in this large longitudinal wearable cohort.

  • The sample included 63,752 adults contributing 2,037,507 person-weeks of wearable-device data.
  • High SJL was defined as SJLsc greater than 1 hour.
  • SJLsc was calculated as the difference in sleep midpoint between workdays and free days, corrected for sleep debt.
  • Data were collected via wearable devices and questionnaires, providing objective rather than self-reported sleep timing.

High social jetlag was more common at the week level than at the person level.

  • High SJL occurred in 25.02% of person-weeks but in only 20.25% of participants.
  • This discrepancy indicates that social jetlag is a fluctuating, week-to-week phenomenon rather than a purely stable trait.
  • The finding supports the distinction between trait-level and state-level social jetlag in clinical sleep research.

High social jetlag was less likely during both extended-rest and extended-work weeks compared to normal weeks.

  • Extended-rest weeks (statutory holidays added) were associated with lower odds of high SJL: OR = 0.844, 95% CI 0.830–0.859.
  • Extended-work weeks (weekend days reassigned as workdays) were also associated with lower odds of high SJL: OR = 0.776, 95% CI 0.758–0.794.
  • Despite lower SJLsc during these altered schedule weeks, short-sleep odds were higher in both extended-rest and extended-work weeks.
  • This coexistence of lower social jetlag with higher short-sleep odds indicates that reduced SJL does not necessarily signal better or longer sleep.

Geographic location farther west within China was associated with later sleep timing and greater social jetlag.

  • Provinces were grouped as east, central, or west based on solar time offset—the gap between local solar time and China Standard Time.
  • Locations farther west, where local solar time is later relative to the single national standard time, were associated with later sleep midpoints.
  • Farther west locations were also associated with greater SJLsc, consistent with solar time misalignment driving circadian disruption.
  • Generalized linear mixed models were used to test the effects of solar time offset.

Adverse associations of social jetlag with sleep and physical activity were stronger between persons than within persons.

  • Within-person centering was used to separate between-person from within-person associations.
  • Between-person differences in SJL showed stronger adverse associations with sleep outcomes and physical activity than week-to-week within-person changes in SJL.
  • This pattern supports the interpretation that social jetlag primarily reflects stable individual traits rather than transient schedule-driven states.
  • The authors describe this as supporting 'trait-state decomposition in clinical sleep research.'

Nocturnal heart rate variability (HRV) showed no robust association with social jetlag.

  • HRV was measured via wearable devices as a marker of autonomic function.
  • Unlike sleep and physical activity, HRV did not demonstrate consistent associations with SJLsc in either between-person or within-person analyses.
  • This null finding distinguishes HRV from other health-related outcomes examined in the study.

What This Means

This research suggests that social jetlag—the mismatch between when people sleep on workdays versus free days—is a common but variable phenomenon in a large sample of Chinese adults. Using wearable device data from over 63,000 people across more than two million weeks, researchers found that in any given week, about 1 in 4 weeks involved significant social jetlag, even though only about 1 in 5 people had high social jetlag on average. This distinction matters because it shows that social jetlag fluctuates week to week rather than being a fixed characteristic of a person. Interestingly, during holiday weeks and weeks where weekends were converted to workdays, social jetlag actually decreased—but people in those same weeks were more likely to sleep too little, highlighting that a reduction in social jetlag does not automatically mean better sleep overall. The study also found that people living in western parts of China, where the sun rises and sets later relative to the national clock time, tended to sleep later and experience more social jetlag. This is consistent with the idea that a mismatch between the body's internal clock (anchored to sunlight) and societal schedules (anchored to standard time) contributes to circadian disruption. Regarding health outcomes, the negative effects of social jetlag on sleep quality and physical activity were mostly explained by stable differences between people rather than by changes within the same person over time. Nocturnal heart rate variability, a measure of nervous system balance, did not show a clear relationship with social jetlag. This research suggests that when evaluating social jetlag in health contexts, it is important to consider both a person's typical pattern and the specific schedule context of any given week, since the same level of social jetlag can mean very different things depending on whether it coincides with short sleep or unusual work schedules. The large-scale wearable data approach provides a more nuanced picture than traditional survey-based studies, pointing to the value of separating stable individual traits from week-to-week fluctuations when studying sleep and circadian health.

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Citation

Fu X, Ma K, Yu M, Xu Y, Chen Y, Huang Z, et al.. (2026). Social jetlag in a longitudinal Chinese wearable cohort: weekly variation, solar-time mismatch, and sleep-activity associations.. Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine. https://doi.org/10.1007/s44470-026-00209-1